tf.raw_ops.ExperimentalGroupByWindowDataset

Creates a dataset that computes a windowed group-by on input_dataset.

tf.raw_ops.ExperimentalGroupByWindowDataset(
    input_dataset, key_func_other_arguments, reduce_func_other_arguments,
    window_size_func_other_arguments, key_func, reduce_func, window_size_func,
    output_types, output_shapes, name=None
)

//

Args:

  • input_dataset: A Tensor of type variant.
  • key_func_other_arguments: A list of Tensor objects.
  • reduce_func_other_arguments: A list of Tensor objects.
  • window_size_func_other_arguments: A list of Tensor objects.
  • key_func: A function decorated with @Defun. A function mapping an element of input_dataset, concatenated with key_func_other_arguments to a scalar value of type DT_INT64.
  • reduce_func: A function decorated with @Defun.
  • window_size_func: A function decorated with @Defun.
  • output_types: A list of tf.DTypes that has length >= 1.
  • output_shapes: A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.